Articles | Volume 9, issue 7
https://doi.org/10.5194/gmd-9-2441-2016
https://doi.org/10.5194/gmd-9-2441-2016
Methods for assessment of models
 | 
22 Jul 2016
Methods for assessment of models |  | 22 Jul 2016

Quantitative evaluation of numerical integration schemes for Lagrangian particle dispersion models

Huda Mohd. Ramli and J. Gavin Esler

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Huda Mohd. Ramli on behalf of the Authors (01 Jun 2016)  Author's response   Manuscript 
ED: Publish subject to minor revisions (Editor review) (17 Jun 2016) by Simon Unterstrasser
AR by Huda Mohd. Ramli on behalf of the Authors (27 Jun 2016)  Author's response   Manuscript 
ED: Publish as is (28 Jun 2016) by Simon Unterstrasser
AR by Huda Mohd. Ramli on behalf of the Authors (04 Jul 2016)
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Short summary
A rigorous methodology is presented to assess numerical integration schemes for stochastic models in atmospheric dispersion known as Lagrangian particle dispersion models. A series of one-dimensional test problems modelling dispersion in the atmospheric boundary layer is used to evaluate commonly used stochastic integration schemes. The results allow for optimal time-step selection for each scheme and recommendations to be made for use in operational models.